About Me

Senior Data Engineer passionate about building reliable, scalable data platforms

I'm a Senior Data Engineer with 14 years of experience designing, building, and optimizing enterprise data analytics solutions across Healthcare and Financial Services domains.

Currently at AmeriHealthCaritas (via Quiddity Infotech), I lead the migration of legacy on-premise SAS-based analytics to modern cloud-native architectures using Databricks, Snowflake, and AWS. My work has improved data availability by 40%, reduced daily pipeline runtimes by 30+ minutes, and maintained 99.9% uptime for mission-critical reporting workflows.

I specialize in ETL/ELT pipeline architecture, cloud migrations (on-prem → AWS/Azure), performance optimization (Spark tuning, incremental loading), and legacy modernization (SAS → Python/SQL). I'm certified across Databricks, Snowflake, AWS, Azure, and SAS platforms.

Healthcare Domain Expertise EHR, claims, HIPAA, GDPR compliance
Financial Services Regulatory reporting, risk analytics, fraud detection
Cloud-Native Architecture AWS, Azure, Databricks, Snowflake, multi-cloud
Team Leadership & Mentoring Stakeholder management, consulting, cross-functional collaboration

Asish Kumar Nayak

Senior Data Engineer

📍 Fuquay Varina, NC

Core Tech Stack

Professional Experience

14 years delivering enterprise data solutions

Technical Skills

Comprehensive expertise across the modern data stack

Education

Academic foundation in Computer Science & Information Systems

Master of Science in Management Information Systems

Oklahoma State University

2013 – 2015

Advanced coursework in data management, systems analysis, and business intelligence. Focus on enterprise data architecture and analytics solutions.

Bachelor of Technology in Computer Science Engineering

Biju Patnaik University of Technology

2006 – 2010

Core computer science curriculum including algorithms, database systems, operating systems, and software engineering. Foundation in programming and system design.

Certifications

Validated expertise across leading data platforms

Let's Connect

Open to Senior Data Engineer opportunities — remote, hybrid, or relocation

Get In Touch

I'm always interested in hearing about challenging data engineering roles, especially in healthcare, financial services, or any domain requiring scalable, reliable data platforms.